# nipy.labs.datasets.volumes.volume_field.VolumeField.as_volume_img¶

VolumeField.as_volume_img(affine=None, shape=None, interpolation=None, copy=True)

Resample the image to be an image with the data points lying on a regular grid with an affine mapping to the word space (a nipy VolumeImg).

Parameters: affine: 4x4 or 3x3 ndarray, optional Affine of the new voxel grid or transform object pointing to the new voxel coordinate grid. If a 3x3 ndarray is given, it is considered to be the rotation part of the affine, and the best possible bounding box is calculated, in this case, the shape argument is not used. If None is given, a default affine is provided by the image. shape: (n_x, n_y, n_z), tuple of integers, optional The shape of the grid used for sampling, if None is given, a default affine is provided by the image. interpolation : None, ‘continuous’ or ‘nearest’, optional Interpolation type used when calculating values in different word spaces. If None, the image’s interpolation logic is used. resampled_image : nipy VolumeImg New nipy VolumeImg with the data sampled on the grid defined by the affine and shape.

Notes

The coordinate system of the image is not changed: the returned image points to the same world space.